Overview

Brought to you by YData

Dataset statistics

Number of variables11
Number of observations522517
Missing cells0
Missing cells (%)0.0%
Duplicate rows487
Duplicate rows (%)0.1%
Total size in memory43.9 MiB
Average record size in memory88.0 B

Variable types

Text2
Numeric9

Alerts

Dataset has 487 (0.1%) duplicate rowsDuplicates
Calories is highly overall correlated with CarbohydrateContent and 5 other fieldsHigh correlation
CarbohydrateContent is highly overall correlated with Calories and 2 other fieldsHigh correlation
CholesterolContent is highly overall correlated with Calories and 3 other fieldsHigh correlation
FatContent is highly overall correlated with Calories and 4 other fieldsHigh correlation
FiberContent is highly overall correlated with CarbohydrateContentHigh correlation
ProteinContent is highly overall correlated with Calories and 4 other fieldsHigh correlation
SaturatedFatContent is highly overall correlated with Calories and 3 other fieldsHigh correlation
SodiumContent is highly overall correlated with Calories and 2 other fieldsHigh correlation
SugarContent is highly overall correlated with CarbohydrateContentHigh correlation
Calories is highly skewed (γ1 = 252.2144508) Skewed
FatContent is highly skewed (γ1 = 410.5726004) Skewed
SaturatedFatContent is highly skewed (γ1 = 409.7743347) Skewed
CholesterolContent is highly skewed (γ1 = 250.1401405) Skewed
SodiumContent is highly skewed (γ1 = 102.2432655) Skewed
CarbohydrateContent is highly skewed (γ1 = 413.8270231) Skewed
FiberContent is highly skewed (γ1 = 118.7003438) Skewed
SugarContent is highly skewed (γ1 = 493.4705449) Skewed
ProteinContent is highly skewed (γ1 = 208.6479159) Skewed
FatContent has 11340 (2.2%) zeros Zeros
SaturatedFatContent has 27584 (5.3%) zeros Zeros
CholesterolContent has 110399 (21.1%) zeros Zeros
CarbohydrateContent has 5693 (1.1%) zeros Zeros
FiberContent has 27001 (5.2%) zeros Zeros
SugarContent has 11802 (2.3%) zeros Zeros
ProteinContent has 8403 (1.6%) zeros Zeros

Reproduction

Analysis started2025-02-27 19:20:01.905061
Analysis finished2025-02-27 19:21:11.608066
Duration1 minute and 9.7 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

Name
Text

Distinct438188
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:11.793635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length97
Median length74
Mean length26.649753
Min length2

Characters and Unicode

Total characters13924949
Distinct characters140
Distinct categories18 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405588 ?
Unique (%)77.6%

Sample

1st rowLow-Fat Berry Blue Frozen Dessert
2nd rowBiryani
3rd rowBest Lemonade
4th rowCarina's Tofu-Vegetable Kebabs
5th rowCabbage Soup
ValueCountFrequency (%)
and 61825
 
3.0%
with 54457
 
2.6%
chicken 49017
 
2.3%
salad 30004
 
1.4%
sauce 21485
 
1.0%
soup 21384
 
1.0%
chocolate 20099
 
1.0%
cake 19528
 
0.9%
cheese 19214
 
0.9%
16057
 
0.8%
Other values (68881) 1777023
85.0%
2025-02-27T20:21:12.077671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1575656
 
11.3%
e 1345613
 
9.7%
a 1190728
 
8.6%
i 760954
 
5.5%
o 739114
 
5.3%
r 709199
 
5.1%
n 657193
 
4.7%
t 621701
 
4.5%
s 580715
 
4.2%
l 490599
 
3.5%
Other values (130) 5253477
37.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10059964
72.2%
Uppercase Letter 2018719
 
14.5%
Space Separator 1575656
 
11.3%
Other Punctuation 131107
 
0.9%
Dash Punctuation 60722
 
0.4%
Open Punctuation 32123
 
0.2%
Close Punctuation 31713
 
0.2%
Decimal Number 13638
 
0.1%
Final Punctuation 735
 
< 0.1%
Math Symbol 350
 
< 0.1%
Other values (8) 222
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1345613
13.4%
a 1190728
11.8%
i 760954
 
7.6%
o 739114
 
7.3%
r 709199
 
7.0%
n 657193
 
6.5%
t 621701
 
6.2%
s 580715
 
5.8%
l 490599
 
4.9%
h 386999
 
3.8%
Other values (33) 2577149
25.6%
Uppercase Letter
ValueCountFrequency (%)
C 360959
17.9%
S 297050
14.7%
B 201824
10.0%
P 185243
9.2%
M 110469
 
5.5%
W 90230
 
4.5%
T 87676
 
4.3%
F 80635
 
4.0%
R 79477
 
3.9%
G 70704
 
3.5%
Other values (19) 454452
22.5%
Other Punctuation
ValueCountFrequency (%)
' 43295
33.0%
& 24320
18.5%
; 22317
17.0%
, 18670
14.2%
! 6408
 
4.9%
. 5811
 
4.4%
/ 5549
 
4.2%
# 2351
 
1.8%
: 954
 
0.7%
" 754
 
0.6%
Other values (10) 678
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 2599
19.1%
5 2393
17.5%
2 2238
16.4%
0 1646
12.1%
3 1432
10.5%
4 983
 
7.2%
9 688
 
5.0%
7 609
 
4.5%
6 584
 
4.3%
8 466
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 31983
99.6%
[ 111
 
0.3%
{ 27
 
0.1%
1
 
< 0.1%
1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 4
44.4%
´ 2
22.2%
¨ 1
 
11.1%
˜ 1
 
11.1%
¸ 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 214
61.1%
+ 106
30.3%
| 28
 
8.0%
± 2
 
0.6%
Currency Symbol
ValueCountFrequency (%)
$ 58
95.1%
¥ 1
 
1.6%
¢ 1
 
1.6%
£ 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 60628
99.8%
85
 
0.1%
9
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 31575
99.6%
] 113
 
0.4%
} 25
 
0.1%
Other Symbol
ValueCountFrequency (%)
19
86.4%
® 2
 
9.1%
° 1
 
4.5%
Final Punctuation
ValueCountFrequency (%)
668
90.9%
67
 
9.1%
Initial Punctuation
ValueCountFrequency (%)
65
73.9%
23
 
26.1%
Other Number
ValueCountFrequency (%)
½ 7
77.8%
¹ 2
 
22.2%
Other Letter
ValueCountFrequency (%)
ª 1
50.0%
º 1
50.0%
Space Separator
ValueCountFrequency (%)
1575656
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Control
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12078685
86.7%
Common 1846264
 
13.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1345613
 
11.1%
a 1190728
 
9.9%
i 760954
 
6.3%
o 739114
 
6.1%
r 709199
 
5.9%
n 657193
 
5.4%
t 621701
 
5.1%
s 580715
 
4.8%
l 490599
 
4.1%
h 386999
 
3.2%
Other values (64) 4595870
38.0%
Common
ValueCountFrequency (%)
1575656
85.3%
- 60628
 
3.3%
' 43295
 
2.3%
( 31983
 
1.7%
) 31575
 
1.7%
& 24320
 
1.3%
; 22317
 
1.2%
, 18670
 
1.0%
! 6408
 
0.3%
. 5811
 
0.3%
Other values (56) 25601
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13923928
> 99.9%
Punctuation 928
 
< 0.1%
None 73
 
< 0.1%
Letterlike Symbols 19
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1575656
 
11.3%
e 1345613
 
9.7%
a 1190728
 
8.6%
i 760954
 
5.5%
o 739114
 
5.3%
r 709199
 
5.1%
n 657193
 
4.7%
t 621701
 
4.5%
s 580715
 
4.2%
l 490599
 
3.5%
Other values (81) 5252456
37.7%
Punctuation
ValueCountFrequency (%)
668
72.0%
85
 
9.2%
67
 
7.2%
65
 
7.0%
23
 
2.5%
9
 
1.0%
5
 
0.5%
2
 
0.2%
1
 
0.1%
1
 
0.1%
Other values (2) 2
 
0.2%
Letterlike Symbols
ValueCountFrequency (%)
19
100.0%
None
ValueCountFrequency (%)
é 9
 
12.3%
½ 7
 
9.6%
è 5
 
6.8%
ï 5
 
6.8%
¿ 5
 
6.8%
ž 4
 
5.5%
ñ 3
 
4.1%
å 3
 
4.1%
± 2
 
2.7%
¹ 2
 
2.7%
Other values (25) 28
38.4%
Modifier Letters
ValueCountFrequency (%)
˜ 1
100.0%

Calories
Real number (ℝ)

High correlation  Skewed 

Distinct30138
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean484.43858
Minimum0
Maximum612854.6
Zeros3111
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:12.152264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55
Q1174.2
median317.1
Q3529.1
95-th percentile1305.8
Maximum612854.6
Range612854.6
Interquartile range (IQR)354.9

Descriptive statistics

Standard deviation1397.1166
Coefficient of variation (CV)2.8839913
Kurtosis96111.462
Mean484.43858
Median Absolute Deviation (MAD)165
Skewness252.21445
Sum2.5312739 × 108
Variance1951934.9
MonotonicityNot monotonic
2025-02-27T20:21:12.217014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3111
 
0.6%
156.2 150
 
< 0.1%
174.2 150
 
< 0.1%
105 143
 
< 0.1%
104 134
 
< 0.1%
226.2 133
 
< 0.1%
218.2 133
 
< 0.1%
228.2 133
 
< 0.1%
133 132
 
< 0.1%
181.8 130
 
< 0.1%
Other values (30128) 518168
99.2%
ValueCountFrequency (%)
0 3111
0.6%
0.1 59
 
< 0.1%
0.2 27
 
< 0.1%
0.3 26
 
< 0.1%
0.4 32
 
< 0.1%
0.5 17
 
< 0.1%
0.6 63
 
< 0.1%
0.7 25
 
< 0.1%
0.8 37
 
< 0.1%
0.9 26
 
< 0.1%
ValueCountFrequency (%)
612854.6 1
< 0.1%
434360.2 1
< 0.1%
350473.1 1
< 0.1%
101614.7 1
< 0.1%
90904.2 1
< 0.1%
70396.6 1
< 0.1%
57933.7 1
< 0.1%
54097.4 1
< 0.1%
51193.4 1
< 0.1%
45609 1
< 0.1%

FatContent
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct4523
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.614922
Minimum0
Maximum64368.1
Zeros11340
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:12.280919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q15.6
median13.8
Q327.4
95-th percentile75.6
Maximum64368.1
Range64368.1
Interquartile range (IQR)21.8

Descriptive statistics

Standard deviation111.4858
Coefficient of variation (CV)4.5291957
Kurtosis222874.33
Mean24.614922
Median Absolute Deviation (MAD)9.7
Skewness410.5726
Sum12861715
Variance12429.083
MonotonicityNot monotonic
2025-02-27T20:21:12.346125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11340
 
2.2%
0.1 8843
 
1.7%
0.2 6385
 
1.2%
0.3 4788
 
0.9%
0.4 3411
 
0.7%
0.5 3199
 
0.6%
0.6 2842
 
0.5%
0.8 2492
 
0.5%
0.7 2465
 
0.5%
7 2240
 
0.4%
Other values (4513) 474512
90.8%
ValueCountFrequency (%)
0 11340
2.2%
0.1 8843
1.7%
0.2 6385
1.2%
0.3 4788
0.9%
0.4 3411
 
0.7%
0.5 3199
 
0.6%
0.6 2842
 
0.5%
0.7 2465
 
0.5%
0.8 2492
 
0.5%
0.9 1978
 
0.4%
ValueCountFrequency (%)
64368.1 1
< 0.1%
30123.7 1
< 0.1%
11169.4 1
< 0.1%
9491 1
< 0.1%
7963.4 1
< 0.1%
4701.1 1
< 0.1%
4012.1 1
< 0.1%
3368.9 1
< 0.1%
2994.9 1
< 0.1%
2817.5 1
< 0.1%

SaturatedFatContent
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct2533
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5594572
Minimum0
Maximum26740.6
Zeros27584
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:12.412070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median4.7
Q310.8
95-th percentile30.2
Maximum26740.6
Range26740.6
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation46.622621
Coefficient of variation (CV)4.8771201
Kurtosis219834.56
Mean9.5594572
Median Absolute Deviation (MAD)3.8
Skewness409.77433
Sum4994978.9
Variance2173.6688
MonotonicityNot monotonic
2025-02-27T20:21:12.477960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27584
 
5.3%
0.1 16300
 
3.1%
0.2 8490
 
1.6%
0.5 7150
 
1.4%
0.3 7123
 
1.4%
0.7 7079
 
1.4%
0.8 6849
 
1.3%
0.6 6695
 
1.3%
1.1 6568
 
1.3%
0.4 6422
 
1.2%
Other values (2523) 422257
80.8%
ValueCountFrequency (%)
0 27584
5.3%
0.1 16300
3.1%
0.2 8490
 
1.6%
0.3 7123
 
1.4%
0.4 6422
 
1.2%
0.5 7150
 
1.4%
0.6 6695
 
1.3%
0.7 7079
 
1.4%
0.8 6849
 
1.3%
0.9 6385
 
1.2%
ValueCountFrequency (%)
26740.6 1
< 0.1%
13269.4 1
< 0.1%
5869.7 1
< 0.1%
2079 1
< 0.1%
1502 1
< 0.1%
1375.2 1
< 0.1%
1277.1 1
< 0.1%
1261 1
< 0.1%
1253.9 1
< 0.1%
1100.4 1
< 0.1%

CholesterolContent
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct9803
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.487003
Minimum0
Maximum130456.4
Zeros110399
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:12.542422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.8
median42.6
Q3107.9
95-th percentile291.5
Maximum130456.4
Range130456.4
Interquartile range (IQR)104.1

Descriptive statistics

Standard deviation301.98701
Coefficient of variation (CV)3.4917039
Kurtosis93008.477
Mean86.487003
Median Absolute Deviation (MAD)42.6
Skewness250.14014
Sum45190929
Variance91196.154
MonotonicityNot monotonic
2025-02-27T20:21:12.610461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 110399
 
21.1%
30.5 2502
 
0.5%
15.3 2486
 
0.5%
7.6 2142
 
0.4%
10.2 1762
 
0.3%
68.4 1455
 
0.3%
77.1 1417
 
0.3%
92.8 1249
 
0.2%
5.1 1226
 
0.2%
20.3 1219
 
0.2%
Other values (9793) 396660
75.9%
ValueCountFrequency (%)
0 110399
21.1%
0.1 1117
 
0.2%
0.2 930
 
0.2%
0.3 851
 
0.2%
0.4 818
 
0.2%
0.5 662
 
0.1%
0.6 852
 
0.2%
0.7 535
 
0.1%
0.8 729
 
0.1%
0.9 428
 
0.1%
ValueCountFrequency (%)
130456.4 1
 
< 0.1%
89892 1
 
< 0.1%
83404.5 1
 
< 0.1%
37224 1
 
< 0.1%
11857 1
 
< 0.1%
11823.8 3
< 0.1%
10135.6 1
 
< 0.1%
9856.4 1
 
< 0.1%
9167.2 1
 
< 0.1%
8976.3 1
 
< 0.1%

SodiumContent
Real number (ℝ)

High correlation  Skewed 

Distinct40455
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean767.26388
Minimum0
Maximum1246921.1
Zeros3029
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:12.677723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.5
Q1123.3
median353.3
Q3792.2
95-th percentile2217.1
Maximum1246921.1
Range1246921.1
Interquartile range (IQR)668.9

Descriptive statistics

Standard deviation4203.6205
Coefficient of variation (CV)5.4787155
Kurtosis20475.802
Mean767.26388
Median Absolute Deviation (MAD)277.3
Skewness102.24327
Sum4.0090842 × 108
Variance17670426
MonotonicityNot monotonic
2025-02-27T20:21:12.746652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3029
 
0.6%
0.6 633
 
0.1%
0.3 603
 
0.1%
0.9 532
 
0.1%
0.8 518
 
0.1%
1.4 482
 
0.1%
1.2 474
 
0.1%
0.1 474
 
0.1%
0.4 468
 
0.1%
1.1 440
 
0.1%
Other values (40445) 514864
98.5%
ValueCountFrequency (%)
0 3029
0.6%
0.1 474
 
0.1%
0.2 383
 
0.1%
0.3 603
 
0.1%
0.4 468
 
0.1%
0.5 440
 
0.1%
0.6 633
 
0.1%
0.7 411
 
0.1%
0.8 518
 
0.1%
0.9 532
 
0.1%
ValueCountFrequency (%)
1246921.1 1
< 0.1%
731056.4 1
< 0.1%
704129.6 1
< 0.1%
528051.8 1
< 0.1%
452942.4 1
< 0.1%
448059.7 1
< 0.1%
387832 1
< 0.1%
381983 1
< 0.1%
351950.2 1
< 0.1%
349356.4 1
< 0.1%

CarbohydrateContent
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct8102
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.089092
Minimum0
Maximum108294.6
Zeros5693
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:12.813450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.4
Q112.8
median28.2
Q351.1
95-th percentile136.8
Maximum108294.6
Range108294.6
Interquartile range (IQR)38.3

Descriptive statistics

Standard deviation180.82206
Coefficient of variation (CV)3.6835487
Kurtosis245890.35
Mean49.089092
Median Absolute Deviation (MAD)17.7
Skewness413.82702
Sum25649885
Variance32696.618
MonotonicityNot monotonic
2025-02-27T20:21:12.880055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5693
 
1.1%
8.2 1182
 
0.2%
5 1164
 
0.2%
8.8 1164
 
0.2%
6 1161
 
0.2%
9.2 1152
 
0.2%
6.5 1143
 
0.2%
13.2 1140
 
0.2%
5.2 1140
 
0.2%
6.2 1138
 
0.2%
Other values (8092) 506440
96.9%
ValueCountFrequency (%)
0 5693
1.1%
0.1 860
 
0.2%
0.2 725
 
0.1%
0.3 685
 
0.1%
0.4 767
 
0.1%
0.5 797
 
0.2%
0.6 772
 
0.1%
0.7 900
 
0.2%
0.8 1027
 
0.2%
0.9 890
 
0.2%
ValueCountFrequency (%)
108294.6 1
< 0.1%
13409.6 1
< 0.1%
9023.8 1
< 0.1%
8737.9 1
< 0.1%
7695.8 1
< 0.1%
6945.5 1
< 0.1%
6826.2 1
< 0.1%
6699.7 1
< 0.1%
6170.4 1
< 0.1%
5602.7 1
< 0.1%

FiberContent
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1067
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.843242
Minimum0
Maximum3012
Zeros27001
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:12.943800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median2.2
Q34.6
95-th percentile12.7
Maximum3012
Range3012
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation8.6031628
Coefficient of variation (CV)2.238517
Kurtosis34219.191
Mean3.843242
Median Absolute Deviation (MAD)1.6
Skewness118.70034
Sum2008159.3
Variance74.01441
MonotonicityNot monotonic
2025-02-27T20:21:13.008690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27001
 
5.2%
0.1 16494
 
3.2%
0.2 14478
 
2.8%
0.3 13547
 
2.6%
0.8 13335
 
2.6%
0.6 13106
 
2.5%
0.5 12848
 
2.5%
0.4 12058
 
2.3%
0.7 11970
 
2.3%
1.1 11780
 
2.3%
Other values (1057) 375900
71.9%
ValueCountFrequency (%)
0 27001
5.2%
0.1 16494
3.2%
0.2 14478
2.8%
0.3 13547
2.6%
0.4 12058
2.3%
0.5 12848
2.5%
0.6 13106
2.5%
0.7 11970
2.3%
0.8 13335
2.6%
0.9 11590
2.2%
ValueCountFrequency (%)
3012 1
< 0.1%
1748.6 1
< 0.1%
1503.2 1
< 0.1%
835.7 1
< 0.1%
799.9 1
< 0.1%
704.7 1
< 0.1%
560.2 1
< 0.1%
548.6 1
< 0.1%
519.5 1
< 0.1%
472 1
< 0.1%

SugarContent
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct6008
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.878254
Minimum0
Maximum90682.3
Zeros11802
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:13.074992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q12.5
median6.4
Q317.9
95-th percentile71.1
Maximum90682.3
Range90682.3
Interquartile range (IQR)15.4

Descriptive statistics

Standard deviation142.62019
Coefficient of variation (CV)6.5188105
Kurtosis312540.15
Mean21.878254
Median Absolute Deviation (MAD)5.1
Skewness493.47054
Sum11431760
Variance20340.519
MonotonicityNot monotonic
2025-02-27T20:21:13.138923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11802
 
2.3%
0.1 8519
 
1.6%
0.2 6388
 
1.2%
0.3 5610
 
1.1%
1.6 5218
 
1.0%
1.1 5164
 
1.0%
0.8 5126
 
1.0%
0.4 5044
 
1.0%
0.6 5029
 
1.0%
1.4 4978
 
1.0%
Other values (5998) 459639
88.0%
ValueCountFrequency (%)
0 11802
2.3%
0.1 8519
1.6%
0.2 6388
1.2%
0.3 5610
1.1%
0.4 5044
1.0%
0.5 4870
0.9%
0.6 5029
1.0%
0.7 4649
 
0.9%
0.8 5126
1.0%
0.9 4623
 
0.9%
ValueCountFrequency (%)
90682.3 1
< 0.1%
7565.2 1
< 0.1%
4735.8 1
< 0.1%
4730 1
< 0.1%
4570.9 1
< 0.1%
4553.1 1
< 0.1%
4531.8 1
< 0.1%
4326.7 1
< 0.1%
4225.3 1
< 0.1%
4153.6 1
< 0.1%

ProteinContent
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct2581
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.46951
Minimum0
Maximum18396.2
Zeros8403
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:13.201267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q13.5
median9.1
Q325
95-th percentile54.1
Maximum18396.2
Range18396.2
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation40.128837
Coefficient of variation (CV)2.2970785
Kurtosis87281.35
Mean17.46951
Median Absolute Deviation (MAD)7.3
Skewness208.64792
Sum9128116.1
Variance1610.3235
MonotonicityNot monotonic
2025-02-27T20:21:13.267224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8403
 
1.6%
0.1 4883
 
0.9%
1.1 4066
 
0.8%
1.4 4057
 
0.8%
2.5 3896
 
0.7%
0.8 3877
 
0.7%
1.9 3876
 
0.7%
1.6 3843
 
0.7%
0.2 3792
 
0.7%
4 3751
 
0.7%
Other values (2571) 478073
91.5%
ValueCountFrequency (%)
0 8403
1.6%
0.1 4883
0.9%
0.2 3792
0.7%
0.3 3513
0.7%
0.4 2951
 
0.6%
0.5 3411
0.7%
0.6 3465
0.7%
0.7 3464
0.7%
0.8 3877
0.7%
0.9 3637
0.7%
ValueCountFrequency (%)
18396.2 1
< 0.1%
7454.9 1
< 0.1%
4437.2 1
< 0.1%
3278.3 1
< 0.1%
3276.2 1
< 0.1%
3270.3 2
< 0.1%
2454.5 1
< 0.1%
2340.6 1
< 0.1%
2178.2 1
< 0.1%
2106.8 1
< 0.1%
Distinct519993
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size4.0 MiB
2025-02-27T20:21:13.585091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length12709
Median length3845
Mean length594.26251
Min length2

Characters and Unicode

Total characters310512262
Distinct characters205
Distinct categories19 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique518213 ?
Unique (%)99.2%

Sample

1st rowc("Toss 2 cups berries with sugar.", "Let stand for 45 minutes, stirring occasionally.", "Transfer berry-sugar mixture to food processor.", "Add yogurt and process until smooth.", "Strain through fine sieve. Pour into baking pan (or transfer to ice cream maker and process according to manufacturers' directions). Freeze uncovered until edges are solid but centre is soft. Transfer to processor and blend until smooth again.", "Return to pan and freeze until edges are solid.", "Transfer to processor and blend until smooth again.", "Fold in remaining 2 cups of blueberries.", "Pour into plastic mold and freeze overnight. Let soften slightly to serve.")
2nd rowc("Soak saffron in warm milk for 5 minutes and puree in blender.", "Add chiles, onions, ginger, garlic, cloves, peppercorns, cardamom seeds, cinnamon, coriander and cumin seeds, poppy seeds, nutmeg, mace, cilantro or mint leaves and lemon juice. Blend into smooth paste. Put paste into large bowl, add yogurt and mix well.", "Marinate chicken in yogurt mixture with salt, covered for at least 2 - 6 hours in refrigerator.", "In skillet. heat oil over medium heat for 1 minute. Add ghee and 15 seconds later add onion and fry for about8 minutes.", "Reserve for garnish.", "In same skillet, cook chicken with its marinade with tomatoes for about 10 minutes over medium heat, uncovered.", "Remove chicken pieces from the sauce and set aside. Add rice to sauce, bring to boil, and cook, covered over low heat for 15 minutes.", "Return chicken and add raisins, cashews and almonds; mix well.", "Simmer, covered for 5 minutes.", "Place chicken, eggs and rice in large serving dish in such a way that yellow of the eggs, the saffron-colored rice, the nuts and the chicken make a colorful display.", "Add reserved onion as garnish.")
3rd rowc("Into a 1 quart Jar with tight fitting lid, put sugar and lemon peel, or zest; add 1 1/2 cups very hot water (not from tap!). With lid fitted firmly, shake jar until sugar is dissolved.", "Add lemon juice. Refrigerate until chilled.", "To Serve: Into each 12-ounce glass, over ice cubes, pour 1/4 cup of the lemon syrup.", "Then add chilled club soda or, if you prefer, water.", "Stir to mix well.")
4th rowc("Drain the tofu, carefully squeezing out excess water, and pat dry with paper towels.", "Cut tofu into one-inch squares.", "Set aside. Cut eggplant lengthwise in half, then cut each half into approximately three strips.", "Cut strips crosswise into one-inch cubes.", "Slice zucchini into half-inch thick slices.", "Cut red pepper in half, removing stem and seeds, and cut each half into one-inch squares.", "Wipe mushrooms clean with a moist paper towel and remove stems.", "Thread tofu and vegetables on to barbecue skewers in alternating color combinations: For example, first a piece of eggplant, then a slice of tofu, then zucchini, then red pepper, baby corn and mushrooms.", "Continue in this way until all skewers are full.", "Make the marinade by putting all ingredients in a blender, and blend on high speed for about one minute until mixed.", "Alternatively, put all ingredients in a glass jar, cover tightly with the lid and shake well until mixed.", "Lay the kebabs in a long, shallow baking pan or on a non-metal tray, making sure they lie flat. Evenly pour the marinade over the kebabs, turning them once so that the tofu and vegetables are coated.", "Refrigerate the kebabs for three to eight hours, occasionally spooning the marinade over them.", "Broil or grill the kebabs at 450 F for 15-20 minutes, or on the grill, until the vegetables are browned.", "Suggestions This meal can be served over cooked, brown rice. Amounts can easily be doubled to make four servings.")
5th rowc("Mix everything together and bring to a boil.", "Reduce heat and simmer for 30 minutes (longer if you prefer your veggies to be soft).", "Refrigerate until cool.", "Serve chilled with sour cream.")
ValueCountFrequency (%)
and 2657337
 
5.0%
the 2588412
 
4.9%
a 1394715
 
2.6%
to 1384546
 
2.6%
in 1331758
 
2.5%
with 897145
 
1.7%
until 802738
 
1.5%
add 732045
 
1.4%
of 708115
 
1.3%
minutes 678493
 
1.3%
Other values (168317) 39977379
75.2%
2025-02-27T20:21:13.984987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53114812
17.1%
e 27280893
 
8.8%
t 19700060
 
6.3%
o 18061782
 
5.8%
a 17827147
 
5.7%
n 16754039
 
5.4%
i 16446715
 
5.3%
r 14806185
 
4.8%
s 12613101
 
4.1%
l 10954278
 
3.5%
Other values (195) 102953250
33.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 225873609
72.7%
Space Separator 53117925
 
17.1%
Other Punctuation 18904704
 
6.1%
Uppercase Letter 6127495
 
2.0%
Decimal Number 3891062
 
1.3%
Close Punctuation 775517
 
0.2%
Open Punctuation 771428
 
0.2%
Dash Punctuation 595320
 
0.2%
Control 326042
 
0.1%
Other Symbol 78448
 
< 0.1%
Other values (9) 50712
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 27280893
12.1%
t 19700060
 
8.7%
o 18061782
 
8.0%
a 17827147
 
7.9%
n 16754039
 
7.4%
i 16446715
 
7.3%
r 14806185
 
6.6%
s 12613101
 
5.6%
l 10954278
 
4.8%
d 9561550
 
4.2%
Other values (50) 61867859
27.4%
Uppercase Letter
ValueCountFrequency (%)
S 806513
13.2%
A 616086
10.1%
P 612656
10.0%
C 606227
9.9%
I 433706
 
7.1%
B 409303
 
6.7%
T 404641
 
6.6%
R 350456
 
5.7%
M 284422
 
4.6%
F 259664
 
4.2%
Other values (40) 1343821
21.9%
Other Punctuation
ValueCountFrequency (%)
" 7005417
37.1%
, 5933962
31.4%
. 4913224
26.0%
; 308988
 
1.6%
/ 278795
 
1.5%
: 124533
 
0.7%
' 95682
 
0.5%
\ 70729
 
0.4%
! 66808
 
0.4%
& 57260
 
0.3%
Other values (14) 49306
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 876576
22.5%
0 634677
16.3%
2 611470
15.7%
5 572949
14.7%
3 528119
13.6%
4 316737
 
8.1%
8 111415
 
2.9%
6 86298
 
2.2%
7 78656
 
2.0%
9 74165
 
1.9%
Math Symbol
ValueCountFrequency (%)
+ 2911
25.5%
~ 2733
24.0%
> 1804
15.8%
= 1784
15.6%
< 1607
14.1%
× 490
 
4.3%
| 59
 
0.5%
¬ 10
 
0.1%
± 10
 
0.1%
÷ 3
 
< 0.1%
Other Number
ValueCountFrequency (%)
½ 8643
65.1%
¼ 3508
26.4%
¾ 1104
 
8.3%
³ 18
 
0.1%
¹ 11
 
0.1%
² 2
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 453
56.7%
^ 206
25.8%
´ 81
 
10.1%
¨ 54
 
6.8%
¸ 4
 
0.5%
¯ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 769567
99.8%
[ 1399
 
0.2%
{ 404
 
0.1%
51
 
< 0.1%
7
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
° 77328
98.6%
® 1034
 
1.3%
© 67
 
0.1%
¦ 18
 
< 0.1%
1
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
$ 181
90.0%
£ 9
 
4.5%
7
 
3.5%
¢ 3
 
1.5%
¤ 1
 
0.5%
Control
ValueCountFrequency (%)
326032
> 99.9%
‘ 4
 
< 0.1%
4
 
< 0.1%
2
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
11091
74.7%
3755
 
25.3%
» 7
 
< 0.1%
4
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
1552
82.8%
318
 
17.0%
3
 
0.2%
« 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 773716
99.8%
] 1395
 
0.2%
} 406
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 589060
98.9%
4709
 
0.8%
1551
 
0.3%
Space Separator
ValueCountFrequency (%)
53114812
> 99.9%
  3113
 
< 0.1%
Other Letter
ValueCountFrequency (%)
º 6993
99.9%
ª 7
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1177
100.0%
Format
ValueCountFrequency (%)
­ 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 232008104
74.7%
Common 78504158
 
25.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 27280893
11.8%
t 19700060
 
8.5%
o 18061782
 
7.8%
a 17827147
 
7.7%
n 16754039
 
7.2%
i 16446715
 
7.1%
r 14806185
 
6.4%
s 12613101
 
5.4%
l 10954278
 
4.7%
d 9561550
 
4.1%
Other values (102) 68002354
29.3%
Common
ValueCountFrequency (%)
53114812
67.7%
" 7005417
 
8.9%
, 5933962
 
7.6%
. 4913224
 
6.3%
1 876576
 
1.1%
) 773716
 
1.0%
( 769567
 
1.0%
0 634677
 
0.8%
2 611470
 
0.8%
- 589060
 
0.8%
Other values (83) 3281677
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310354793
99.9%
None 132289
 
< 0.1%
Punctuation 25172
 
< 0.1%
Currency Symbols 7
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53114812
17.1%
e 27280893
 
8.8%
t 19700060
 
6.3%
o 18061782
 
5.8%
a 17827147
 
5.7%
n 16754039
 
5.4%
i 16446715
 
5.3%
r 14806185
 
4.8%
s 12613101
 
4.1%
l 10954278
 
3.5%
Other values (88) 102795781
33.1%
None
ValueCountFrequency (%)
° 77328
58.5%
é 24358
 
18.4%
½ 8643
 
6.5%
º 6993
 
5.3%
¼ 3508
 
2.7%
  3113
 
2.4%
ñ 1748
 
1.3%
¾ 1104
 
0.8%
è 1095
 
0.8%
® 1034
 
0.8%
Other values (81) 3365
 
2.5%
Punctuation
ValueCountFrequency (%)
11091
44.1%
4709
18.7%
3755
 
14.9%
1552
 
6.2%
1551
 
6.2%
1501
 
6.0%
620
 
2.5%
318
 
1.3%
51
 
0.2%
7
 
< 0.1%
Other values (4) 17
 
0.1%
Currency Symbols
ValueCountFrequency (%)
7
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

Interactions

2025-02-27T20:21:09.126743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:01.854350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:02.739633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:03.640589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:04.512311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:05.417804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:06.320999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:07.174231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:08.040846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:09.225324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:01.957582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:02.841218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:03.737842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:04.613083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:05.516753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:06.420577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:07.269790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:08.133758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:09.322853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:02.055041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:02.940876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:03.833966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:04.717180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:05.616315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:06.515403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:07.365916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:08.226113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:09.419866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:02.150278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:03.039770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:03.928260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:04.817298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:05.718405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:06.610074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:07.459353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:08.318108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:09.518557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-02-27T20:21:02.247192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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Correlations

2025-02-27T20:21:14.038151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
CaloriesCarbohydrateContentCholesterolContentFatContentFiberContentProteinContentSaturatedFatContentSodiumContentSugarContent
Calories1.0000.6600.6130.8330.4590.7230.7530.5810.351
CarbohydrateContent0.6601.0000.1560.3200.6220.3020.2940.3160.649
CholesterolContent0.6130.1561.0000.6870.0390.7080.7390.4900.045
FatContent0.8330.3200.6871.0000.2770.6350.9240.5390.153
FiberContent0.4590.6220.0390.2771.0000.3990.1780.3480.293
ProteinContent0.7230.3020.7080.6350.3991.0000.5670.676-0.017
SaturatedFatContent0.7530.2940.7390.9240.1780.5671.0000.4810.161
SodiumContent0.5810.3160.4900.5390.3480.6760.4811.0000.050
SugarContent0.3510.6490.0450.1530.293-0.0170.1610.0501.000

Missing values

2025-02-27T20:21:10.064977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-27T20:21:10.392989image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

NameCaloriesFatContentSaturatedFatContentCholesterolContentSodiumContentCarbohydrateContentFiberContentSugarContentProteinContentRecipeInstructions
0Low-Fat Berry Blue Frozen Dessert170.92.51.38.029.837.13.630.23.2c("Toss 2 cups berries with sugar.", "Let stand for 45 minutes, stirring occasionally.", "Transfer berry-sugar mixture to food processor.", "Add yogurt and process until smooth.", "Strain through fine sieve. Pour into baking pan (or transfer to ice cream maker and process according to manufacturers' directions). Freeze uncovered until edges are solid but centre is soft. Transfer to processor and blend until smooth again.", "Return to pan and freeze until edges are solid.", "Transfer to processor and blend until smooth again.", \n"Fold in remaining 2 cups of blueberries.", "Pour into plastic mold and freeze overnight. Let soften slightly to serve.")
1Biryani1110.758.816.6372.8368.484.49.020.463.4c("Soak saffron in warm milk for 5 minutes and puree in blender.", "Add chiles, onions, ginger, garlic, cloves, peppercorns, cardamom seeds, cinnamon, coriander and cumin seeds, poppy seeds, nutmeg, mace, cilantro or mint leaves and lemon juice. Blend into smooth paste. Put paste into large bowl, add yogurt and mix well.", "Marinate chicken in yogurt mixture with salt, covered for at least 2 - 6 hours in refrigerator.", "In skillet. heat oil over medium heat for 1 minute. Add ghee and 15 seconds later add onion and fry for about8 minutes.", \n"Reserve for garnish.", "In same skillet, cook chicken with its marinade with tomatoes for about 10 minutes over medium heat, uncovered.", "Remove chicken pieces from the sauce and set aside. Add rice to sauce, bring to boil, and cook, covered over low heat for 15 minutes.", "Return chicken and add raisins, cashews and almonds; mix well.", "Simmer, covered for 5 minutes.", "Place chicken, eggs and rice in large serving dish in such a way that yellow of the eggs, the saffron-colored rice, the nuts and the chicken make a colorful display.", \n"Add reserved onion as garnish.")
2Best Lemonade311.10.20.00.01.881.50.477.20.3c("Into a 1 quart Jar with tight fitting lid, put sugar and lemon peel, or zest; add 1 1/2 cups very hot water (not from tap!). With lid fitted firmly, shake jar until sugar is dissolved.", "Add lemon juice. Refrigerate until chilled.", "To Serve: Into each 12-ounce glass, over ice cubes, pour 1/4 cup of the lemon syrup.", "Then add chilled club soda or, if you prefer, water.", "Stir to mix well.")
3Carina's Tofu-Vegetable Kebabs536.124.03.80.01558.664.217.332.129.3c("Drain the tofu, carefully squeezing out excess water, and pat dry with paper towels.", "Cut tofu into one-inch squares.", "Set aside. Cut eggplant lengthwise in half, then cut each half into approximately three strips.", "Cut strips crosswise into one-inch cubes.", "Slice zucchini into half-inch thick slices.", "Cut red pepper in half, removing stem and seeds, and cut each half into one-inch squares.", "Wipe mushrooms clean with a moist paper towel and remove stems.", "Thread tofu and vegetables on to barbecue skewers in alternating color combinations: For example, first a piece of eggplant, then a slice of tofu, then zucchini, then red pepper, baby corn and mushrooms.", \n"Continue in this way until all skewers are full.", "Make the marinade by putting all ingredients in a blender, and blend on high speed for about one minute until mixed.", "Alternatively, put all ingredients in a glass jar, cover tightly with the lid and shake well until mixed.", "Lay the kebabs in a long, shallow baking pan or on a non-metal tray, making sure they lie flat. Evenly pour the marinade over the kebabs, turning them once so that the tofu and vegetables are coated.", "Refrigerate the kebabs for three to eight hours, occasionally spooning the marinade over them.", \n"Broil or grill the kebabs at 450 F for 15-20 minutes, or on the grill, until the vegetables are browned.", "Suggestions This meal can be served over cooked, brown rice. Amounts can easily be doubled to make four servings.")
4Cabbage Soup103.60.40.10.0959.325.14.817.74.3c("Mix everything together and bring to a boil.", "Reduce heat and simmer for 30 minutes (longer if you prefer your veggies to be soft).", "Refrigerate until cool.", "Serve chilled with sour cream.")
5Best Blackbottom Pie437.919.310.994.3267.658.01.842.57.0c("Graham Cracker Crust: In small bowl, combine graham cracker crumbs, sugar and butter. Press evenly on bottom and sides of 9-inch pie plate. Chill until firm (about 1 hour).", "Chocolate Layer: In medium saucepan, combine sugar, cornstarch and salt. Gradually stir in milk. Cook over medium heat, stirring constantly, until mixture boils. Remove from heat. In small bowl, beat egg yolks. Gradually stir in small amount of hot mixture; return to saucepan. Cook over low heat, stirring constantly, for 2 minutes. Remove from heat.", \n"Remove 1-1/2 cups custard to medium bowl; add semi-sweet chocolate morsels and vanilla extract. Stir until morsels are melted and mixture is smooth.", "Pour into prepared Graham Cracker Crust; chill until set (about 30 minutes).", "While Chocolate Layer is chilling, prepare Vanilla Layer.", "Vanilla Layer: In large bowl, combine cold water and gelatin; let stand 5 minutes. Add remaining warm custard; stir until gelatin dissolves. Cool 15 minutes. Stir in rum; beat with wire whisk until smooth. Set aside.", \n"In 1-1/2 quart bowl, combine egg whites and cream of tartar; beat until foamy. Gradually add sugar; beat until stiff peaks form. Fold egg whites into custard; pour over chocolate layer.", "Chill until set (about 2 hours).", "Garnish with whipped cream and chocolate shavings, if desired.", "Makes one 9-inch pie.")
6Warm Chicken A La King895.566.831.9405.8557.229.13.15.045.3c("Melt 1 1/2 ozs butter, add the flour and cook for 2 to 3 minutes, stirring.", "Gradually add milk and cook, stirring, until thick and smooth.", "Melt the remaining butter and saute sliced celery, button mushrooms and chopped pepper until soft but not coloured.", "Add celery, mushrooms, pepper, chicken and pimiento to the sauce and heat through.", "Season to taste. Combine the egg yolks, double cream and Worcestershire sauce. Add to the chicken mixture and heat through.", "Transfer to a serving dish and sprinkle with chopped parsley."\n)
7Buttermilk Pie With Gingersnap Crumb Crust228.07.11.724.5281.837.50.524.74.2c("Preheat oven to 350°F.", "Make pie crust, using 8 inch pie pan, do not bake.", "Mix sugar and margarine in medium bowl until blended; beat in egg whites and egg.", "Stir in flour, salt, and buttermilk until well blended.", "Pour filling into prepared crust, bake 40 minutes or until sharp knife inserted near center comes out clean.", "Sprinkle with nutmeg and serve warm or chilled.", "Combine graham crumbs, gingersnap crumbs, and margarine in 8 or 9 inch pie pan, pat mixture evenly on bottom and side of pan.", \n"Bake 8 to 10 minutes or until edge of crust is lightly browned.", "Cool on wire rack.")
8A Jad - Cucumber Pickle4.30.00.00.00.71.10.20.20.1c("Slice the cucumber in four lengthwise, then slice the pieces to segments about an eighth of an inch thick.", "Slice the tops of the chilies (green ones can be used if red are not available, but Thais like the color contrast), tap out any loose seeds and discard, then slice the chilies across into thin rounds.", "Slice the shallots and water chestnuts.", "Combine and serve. This will keep 2 or 3 weeks in a refrigerator.")
9Butter Pecan Cookies69.05.61.46.315.04.50.61.60.8c("Preheat oven to 350 degrees.", "Cream butter in large mixing bowl.", "Gradually add brown sugar and granulated sugar.", "Cream well.", "Add unbeaten egg yolk and vanilla and beat well.", "Blend in sifted flour to form a stiff dough.", "Shape dough into small balls.", "Place on greased cookie sheet. Flatten cookies with bottom of glass dipped in sugar.", "Bake at 350 degrees for 7-9 minutes, till golden brown (do not overbrown.) Cool before frosting.", "Garnish with pecan halves.")
NameCaloriesFatContentSaturatedFatContentCholesterolContentSodiumContentCarbohydrateContentFiberContentSugarContentProteinContentRecipeInstructions
522507MaMa's Bean Salad141.74.00.30.011.722.45.310.05.2c("Drain and rinse all the beans. (It is unnecessary to rinse the peas, but they do have to be drained.) Sometimes I replace the wax beans with a can of corn. I also add 4 to 8 oz of canned mushrooms, asparagus, and/or artichoke hearts, depending on the crowd. Because the peas are very fragile, drain them last", "Heat sugar and vinegar in a small pan until the sugar is dissolved. Add the oil", "Place the drained beans and chopped vegetables in a large bowl. Reserve the peas. Pour the vinegar over the sala and mix. Add pepper to taste. When salad is mixed to your preference, gently fold in the peas so that they don't get squashed.", \n"Vinegar dressing should cover the salad. If, like me, you have added extra cans of other vegetables, you might need to make another batch of dressing.", "Cover and refrigerate. Salad is best 24 hours after preparation, when the vegetables have had a chance to absorb the dressing. Serve with a slotted spoon.")
522508Amazing Ground Beef Stroganoff422.328.612.6106.0634.714.11.45.727.3c("Saute meat in a medium skillet until it loses redness. Drain as necessary. Add Better Than Boullion or 1 cube of crushed beef boullion, onion, & celery. Cook until vegetables are limp. Add remaining ingredients and simmer until all ingredients are heated and blended.", "Just before serving, stir in the sour cream and bring back to temperature.", "Serve over rice or noodles.")
522509Spanish Coffee with Tia Maria84.32.11.26.815.716.60.415.40.6c("Cut a small slit in the lemon wedge and slide it around the rim of the glass. Dip the rim in granulated sugar and turn back and forth to coat well.", "Add Cognac, Tia Maria and pour in hot coffee. Top generously with whipped cream, sprinkle on some cinnamon and garnish with a cherry. Carefully wrap a serviette around the glass and enjoy! Makes 1 coffee.")
522510Slow-Cooker Classic Coffee Cake358.919.810.5103.1323.441.50.824.84.8c("Line bottom and sides of 5-quart oval slow cooker with single sheet of cooking parchment paper, and spray with cooking spray.", "In medium bowl, stir first five ingredients until crumbly. Set aside.", "In large bowl, stir Cake ingredients (cake mix, sour cream, butter, eggs) until blended. Pour into slow cooker. Place folded, clean dish towel under cover of cooker. This will prevent condensation from dripping down onto cake. Cook on High heat setting 1 hour. Carefully remove slow cooker’s ceramic insert, and rotate insert 180 degrees. Sprinkle topping over cake. Replace cover with dish towel under the cover. Continue to cook on High heat setting 30 minutes to 1 hour or until toothpick inserted in center comes out clean.", \n"Transfer ceramic insert from slow cooker to cooling rack. Let stand 10 minutes. Using parchment paper, carefully lift cake out of ceramic insert, and transfer to cooling rack. Cool completely, about 1 hour. Remove parchment paper.", "In small bowl, beat powdered sugar, milk and vanilla until smooth. Drizzle over cake.", "For an even easier version, you can skip the glaze, and sprinkle powdered sugar on top of cooled cake.", "If preferred, 1/2 cup chopped toasted walnuts or pecans can be mixed into the topping mixture."\n)
522511Meg's Pumpkin Spice Bread898.234.85.2106.3903.3139.02.686.810.8c("Beat eggs, add oil, water, and pumpkin; mix well. Add baking soda and spices; mix well. Add flour and sugar; mix well.", "Spray eight mini loaf tins with baking Pam. Pour mixture into prepared tins on a large baking sheet about 2/3 full. Keep level and place on middle baking rack for 45 minutes to one hour. When toothpick inserted in middle of loaf comes out clean, they are done. Let cool before removing from tins.", "I wrap and store in non-stick aluminum foil and add a shiny ribbon. Even better the next day. “Freezes beautifully.”."\n)
522512Meg's Fresh Ginger Gingerbread316.612.57.654.4278.248.50.822.83.9c("Preheat oven to 350&deg;F Grease an 8x8 cake pan. This recipe uses 2 mixing bowls, 1 large and 1 medium.", "Peel an grate your ginger if not using ginger paste.", "In the large mixing bowl, create together the butter and brown sugar. Add molasses, syrup, egg and salt, beating after each addition. Beat mixture on low speed until smooth.", "In a separate bowl, mix the flour, soda, & spices.", "Mix half the dry mix into the sugar mixture. Beat until smooth", "Mix in 1/4 cup buttermilk. Beat until smooth.", \n"Add remaining flour, then the remaining buttermilk, beating after each addition.", "Use a large spoon to stir in the ginger. Mix until well incorporated.", "Pour into a well greased 8x8 cake pan and back 35 - 40 minutes or until the toothpick jabbed in the middle comes out clean.")
522513Roast Prime Rib au Poivre with Mixed Peppercorns2063.4172.471.4433.8766.33.20.70.1117.0c("Position rack in center of oven and preheat to 450°F. Place beef, fat side up, in shallow roasting pan. Sprinkle beef with salt. Mix mustard and garlic in small bowl. Spread mustard mixture over top of beef. Sprinkle 2 tablespoons crushed peppercorns over mustard mixture.", "Roast beef 15 minutes. Reduce heat to 325°F. Roast until meat thermometer inserted into center of beef registers 125°F. for medium-rare, tenting loosely with foil if crust browns too quickly, about 2 hours 45 minutes. Transfer beef to platter. Tent with foil to keep warm.", \n"Pour pan juices into 2-cup glass measuring cup (do not clean pan). Freeze juices 10 minutes. Spoon fat off top of pan juices, returning 1-tablespoon fat to roasting pan. Reserve juices.", "Melt fat in same roasting pan over medium-high heat. Add shallots and sauté until tender, scraping up any browned bits from bottom of pan, about 2 minutes. Remove pan from heat. Add canned beef broth, then Cognac (liquid may ignite). Return pan to heat and boil until liquid is reduced to 2 cups, about 15 minutes. Add pan juices and remaining 1 teaspoon crushed peppercorns. Transfer pan juices to sauceboat.", \n"Carve roast and serve with juices.")
522514Kirshwasser Ice Cream1271.3117.272.6470.9192.533.90.017.312.8c("heat half and half and heavy cream to a simmer add sugar.", "remove from heat beat in two eggs add brandy.", "add food color blend with with blender Place in ice cream maker freeze.", "serve when semi hard cold.")
522515Quick & Easy Asian Cucumber Salmon Rolls16.10.60.12.9100.50.30.00.12.4c("In a small bowl, combine mayo and wasabi paste. Stir well before adding 1 teaspoons dill; mix well and set aside.", "Leaving the skin on, cut cucumber in half and then each half lengthwise. Using a mandolin, slice the cucumber as thin as possible. Add a thin slice of smoked salmon, slightly smaller than the cucumber on top. Spread a thin layer of dressing on the fish. Add a couple pieces of pickled ginger.", "Roll up cucumber starting on the pickled ginger end. Place each roll on a serving plate and garnish with fresh dill sprigs. Serve immediately.", \n"Note: Depending on the size of your cuke and how thick you slice it, you should get between 8 to 10 slices per quarter section.")
522516Spicy Baked Scotch Eggs1093.371.222.21769.71318.629.71.36.776.4c("Mix sausage, panko, egg yolk and Wocestershire sauce in a bowl.", "Beat egg white with water in a bowl.", "Add panko and flour to separate bowls.", "Keeping hands cold will help you wrap the sausage around the hard boiled egg, I usually keep a bowl of ice water to dip my one hand inches.", "Portion out the sausage into 6 or 7 portions (same amount of eggs you have - smaller sizes work best).", "Roll egg into flour, then flatten portion of sausage into palm of hand and wrap entirely around the egg.", \n"Roll in flour again, then in egg, lastly into panko.", "Place on a jelly roll pan.", "Bake at 375 for 25 minutes.")

Duplicate rows

Most frequently occurring

NameCaloriesFatContentSaturatedFatContentCholesterolContentSodiumContentCarbohydrateContentFiberContentSugarContentProteinContentRecipeInstructions# duplicates
58Best Barbecued Pork Chops373.718.26.0137.31026.27.80.26.941.8c("Preheat oven to 375 degrees.", "Place 4 pork chops in a baking dish.", "Mix the remaining ingredients and pour the sauce over the meat.", "Cover and bake for 1 hour. Remove bay leaf and serve.")3
103Chicken and Yellow Rice With Broccoli and Cheddar Cheese268.713.95.292.4264.05.11.91.930.4c("Heat 1 tablespoon of the oil in large skillet on medium-high heat. Add chicken; cook and stir 5 minutes or until browned. Remove chicken; set aside.", "Heat remaining 1 tablespoon oil in skillet. Add onion and garlic; cook and stir 4 minutes or until softened. Add water; bring to boil, stirring to release browned bits from bottom of skillet. Stir in Rice Mix; return to boil. Reduce heat to low; cover and simmer 20 minutes.", "Place broccoli and chicken over rice; cover. Cook 5 minutes longer or until broccoli and chicken are heated through.", \n"Sprinkle cheese over top; cover. Remove from heat. Let stand 5 minutes or until cheese is melted.")3
108Chinese Chews88.44.61.311.852.411.20.57.81.1c("Preheat oven to 350 degrees.", "Cream shortening and sugar.", "Add eggs and vanilla.", "Mix flour and salt with nuts, coconut and dates.", "Fold flour mixture into creamed mixture.", "Bake in greased 8 x 8 inch baking dish for 20 minutes.", "Cool slightly on a rack before cutting into bars.")3
175Easy Garlic and Cheese Biscuits213.214.67.830.7432.416.00.53.04.5c("Preheat the oven to 400 degrees F.", "Combine the biscuit mix and cheese in a small bowl. Add the water and stir just until combined. The dough will be slightly moist. Drop the dough by heaping tablespoonfuls into a large muffin pan cups that have been sprayed with cooking spray. You could also line a baking sheet with parchment paper and drop the biscuits onto it.", "Bake for about 10 minutes, until the biscuits are firm and beginning to brown.", "While the biscuits are baking, make the garlic butter. In a small bowl, combine the butter, garlic powder, salt, and parsley flakes. Mix well. As soon as you bring the biscuits from the oven, brush them with the garlic butter using a pastry brush."\n)3
215Grapes in Port Wine Sauce125.70.10.00.05.221.90.717.60.6c("Combine wine, orange peel, cinnamon stick and honey in a saucepan and bring to a boil, stirring to dissolve honey. Reduce heat to medium-low and simmer until liquid is reduced to about 1/3 cup (80ml), about 15 to 20 minutes.", "Using a slotted spoon, remove the orange peel and cinnamon stick and discard. Stir in grapes. Allow to sit, stirring occasionally, for at least an hour or up to two hours at room temperature, or refrigerate in an airtight container for up to three days.", "Serve over ice cream, frozen yogurt or in a small dish on its own, with biscotti."\n)3
249ITALIAN BURGERS With TOMATO SLAW845.554.522.7173.61868.230.61.95.055.4c("In a large mixing bowl, combine ground beef, hot Italian ground sausage, panko, onions, garlic, Italian seasoning, sea salt and freshly ground black pepper; mix well. Divide meat into 4 equal portions and form patties. Place them in a plate, cover with plastic wrap and chill for 2 hours.", "Later on, take meat out and let it rest on the counter while making the slaw. In a small bowl, combine tomato, pepperoncini, basil, oil, vinegar, sea salt and freshly ground black pepper; stir well and set aside.", \n"Fire up the BBQ and place patties when the grill reaches high temperature. Close the lid and cook about 5 to 6 minutes per side, flipping once. About 2 to 3 minutes before cooking is done, place hamburger buns on the top grill as well as a couple slices of cheese per patty.", "Just before serving, scoop a good amount of tomato slaw on top of the meat. Makes 4 burgers.")3
324Orzo and Green Herbs175.72.90.40.0299.931.41.30.75.5c("Bring the water to a rolling boil in a large covered pot. Stir in the orzo and cook for about 7 minutes, until al dente.", "Place the herbs, oil, salt and pepper in a bowl. When the pasta is ready, drain it and add it to the bowl. Toss well and serve.")3
365Quinoa Burger134.06.62.665.8147.811.21.40.97.3c("To cook quinoa -1 cup uncooked quinoa.", "2 cups water.", "1/2 teaspoon salt.", "In a medium saucepan bring the 2 cups water and 1/2 teaspoon salt to a boil over high heat. Add quinoa and reduce heat to low. Cover and cook for 18-20 minutes, or until all water is absorbed and the seeds are tender. Allow to cool for a few minutes.", "In a large bowl combine the cooked quinoa, cheddar cheese, cottage cheese, carrot, eggs, flour, green onions, Splenda, pepper, cumin, salt, and garlic powder.", \n"Heat a frying pan and a couple teaspoons olive oil over medium-low heat. Mixture will be slightly sticky, so using a 1/4 cup measuring cup, drop mixture into pan and lightly flatten to 1/2 inch thick. Fry until golden-brown, about 4 minutes on each side. Makes approximately 10 burgers.")3
0&quot;just Plain&quot; Vanilla Ice Cream240.218.711.667.658.015.70.013.33.6c("In a large bowl, mix all ingredients together using a wire whisk.", "Chill in the refrigerator until the mixture is chilled below 40 degrees F.", "Follow your ice cream makers directions for freezing.", "After freezing using the ice cream maker, it can be stored in an airtight container in the freezer for up to 10 days. (Don't worry, it won't last that long).")2
1100-Calorie Ham and Cheese Individual Frittatas101.96.12.6106.8327.12.20.31.19.1c("Preheat the oven to 350 degrees F. Coat a 12-cup muffin pan with cooking spray.", "Heat 1 teaspoon of the oil in a large nonstick skillet set over medium-high heat. Add the ham and cook until shrunken and somewhat dried, 2 to 3 minutes. Turn and cook another 2 minutes. Transfer to a bowl.", "Add the remaining 1 teaspoon oil and the onions to the pan and reduce the heat to medium-low. Cook, stirring occasionally, until the onions are translucent and very soft, 11 to 12 minutes.", "Meanwhile, lightly beat the whole eggs and egg whites in a large bowl. Add all but 2 tablespoons of the cheese, the salt and thyme, and whisk until well blended. Stir in the ham and onions.", \n"Scoop about 1/4 cup of the mixture at a time into the prepared muffin pan, and divide the remaining 2 tablespoons of cheese over the tops. Bake in the center of the oven until a toothpick inserted in the center comes out clean, 22 to 25 minutes. Cool slightly before removing from the pan. Serve warm or at room temperature.", "Cook's Notes: You may substitute 6 strips of lean, center-cut bacon for the ham and still stay under 100 calories.")2